Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Design of Unsharp Mask Filter based on Retinex Theory for Image Enhancement

  • Kim, Ju-young (Dept. of Electronic Computer Engineering, Seo-Kyeong University) ;
  • Kim, Jin-heon (Dept. of Computer Engineering, Seo-Kyeong University)
  • Received : 2017.06.20
  • Accepted : 2017.06.28
  • Published : 2017.06.30
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Abstract

This paper proposes a method to improve the image quality by designing Unsharp Mask Filter (UMF) based on Retinex theory which controls the frequency pass characteristics adaptively. Conventional unsharp masking technique uses blurring image to emphasize sharpness of image. Unsharp Masking(UM) adjusts the original image and sigma to obtain a high frequency component to be emphasized by the difference between the blurred image and the high frequency component to the original image, thereby improving the contrast ratio of the image. In this paper, we design a Unsharp Mask Filter(UMF) that can process the contrast ratio improvement method of Unsharp Masking(UM) technique with one filtering. We adaptively process the contrast ratio improvement using Unsharp Mask Filter(UMF). We propose a method based on Retinex theory for adaptive processing. For adaptive filtering, we control the weights of Unsharp Mask Filter(UMF) based on the human visual system and output more effective results.

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References

  1. S. Jungho, "Iterative Unsharp Mask Filter for Digital Auto-Focusing," Journal of the Institute of Electronics Engineers of Korea, Vol. 47, No.2, pp. 145-152, September 2010.
  2. J. YongGyu and E. JaeKwon and K. TaeWoo and K.vladimir, and L. JaeSeok, " Selective Unsharp Masking Algorithm for Low Dose Digital X-ray Image Enhancement," THE INSTITUTE OF ELECTRONICS ENGINEERS OF KOREA, pp. 339-342, 2001.
  3. Tian Xiurong, "The application of Adaptive unsharp mask algorithm in medical image enhancement," IEEE Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, pp. 26-30, 2011.
  4. K. YongJun and S. ByungCheol, "Super-resolution Algorithm Using Adaptive Unsharp Masking for Infrared Image," The Korean society of Broad engineers, Vol. 21, No.2, pp. 180-191, 2016.
  5. K. JinHo, "Vehicle License Plate Recognition for Smart Tolling by Selective Sharpening," The Korea Contents Society, Vol. 14, No.12, pp. 1-9, 2014.
  6. R. C. Gonzalez and R. E. Woods, "Digital Image Processing, 3nd edition". Prentice Hall, 2007.
  7. L. ImGeun, "Image Contrast Enhancement using Adaptive Unsharp Mask and Directional Information," Journal of the Korea Computer Information Society, Vol.16, No. 3, pp. 27-34, 2011.
  8. A. Rosenfeld and P. D. Torre, "Histogram Concavity Analysis as an Aid in Threshold Selection," IEEE Transactions on Systems Man Cybernetics, Vol. SMC-13, Issue 2, pp. 231-235, 1983. https://doi.org/10.1109/TSMC.1983.6313118
  9. M. I. Sezan, "A Peak Detection Algorithm and Its Application to Histogram-Based Image Data Reduction," Journal of Computer Vision, Graphics, and Image Processing, Vol. 49, No. 1, pp. 36-51, 1990. https://doi.org/10.1016/0734-189X(90)90161-N
  10. Y. T. Kim, "Contrast Enhancement using Brightness Preserving Bi-Histogram Equalization," IEEE Transactions on Consumer Electronics, Vol. 42, No.1, pp. 1-8, 1997.
  11. Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Transactions on Consumer Electronics, Vol. 45, No. 1, pp. 68-75, 1999. https://doi.org/10.1109/30.754419
  12. E. H. Land and J. J. McCann, "Lightness and Retinex theory," Journal of the Optical Society of America, Vol. 61, No. 1, pp. 1-11, 1971. https://doi.org/10.1364/JOSA.61.000001
  13. H. S. Cha and S. H. Hong, "Advaced Retinex Algorithme for Image Enhancement," Journal of the Multimedia Society, Vol.16, No. 1, 29-41, 2013. https://doi.org/10.9717/kmms.2013.16.1.029
  14. S. W. Lee, C. Y. Song, S. S. Cho, S. H. Kim, W. S. Lee, and J. G. Kang, "Contrast Enhancement Based on Weight Mapping Retinex Algorithm," The Journal of the Institute of Electronics Engineers of Korea, Vol.46, No. 4, pp. 31-41, 2009.
  15. H. G. Kim, D. B. Lee, and B. C. Song, "Adaptive Unsharp Masking using Bilateral Filter," The Journal of the Institute of Electronics Engineers of Korea, Vol.19, No. 11, pp. 56-63, 2012.
  16. T. Go, S. Oriaki, and U. Eiji, "An Edge Preserving Filter-based Selective Unsharp Masking for Noisy Images", ITC-CSCC, pp. 469-472, 2008.